One platform to ingest, label, search, and evaluate the data behind autonomous systems.
It comes down to data.
In AI, the data that decides your model is the data you rarely see.
Performance is set by the 1% of edge cases, not the 99% of ordinary frames. Most teams still hunt that 1% on instinct and experience.
This is not a cheaper labeling service.
We solve data problems at the scale of 1,000 TB and 1,000 hours.
Data Flywheel
Every loop compounds the value of your data
Label
3D labeling runs automatically, whether you have camera, LiDAR, or both.
Review
The model flags the frames it is unsure about and proposes what to review first.
Search
Find scenes in natural language, with results that respect physical conditions.
Retrain
Review results feed back into training, so precision improves with every pass.
One platform for the entire perception loop.
From registering data to evaluating a model, all on one platform.
Seamless Integration
Keep the data layout you already have
Multi-Task Automation
Run every perception task as one pipeline
Search & Analysis
Search in natural language, evaluate with metrics
Run every perception task as one pipeline
Calibration
Pose
3D Detection
2D Detection
Segmentation
3D Lane
Occupancy
Scene Description
Multi-Task Automation
Pipeline Configuration
Pick only the tasks you need and run them as a single pipeline. Calibration, pose, 3D and 2D detection, segmentation, 3D lane, occupancy, scene description.
Live Monitoring
Track auto-labeling progress per task in real time. Finished results open straight in the viewer.
Calibration Check
Auto-calibration results render in 3D, so sensor alignment quality is something you can see.
Pose Check
The generated trajectory renders over the point cloud, making pose estimates readable at a glance.
Annotation Check
Auto-label results render over the point cloud and stay in sync with camera footage as you review.
Search & Analysis
Result Exploration
Open any result in the 3D viewer. Ego behavior and road environment come with it, so the scene reads immediately.
Model Evaluation
Score a trained model per safety-critical scenario, with pass and fail decided by precise metrics.
Comparison & Trends
Compare model versions and watch test coverage move. Evaluation sharpens as data accumulates.
Press & Recognition.
Seed round raised
Corporate R&D center established
Selected as a NIPA data voucher supplier
Minister's Award, Challenge K-Startup 2025
Winner, IROS 2025 3D Detection Challenge
Joined the NVIDIA Inception Program
TECH42 interview on mobility startup technology
Built with leaders in mobility, academia & research.
We test what spatial AI can do alongside academia, industry, and research institutions.
Join the team designing the core of data infrastructure for autonomous driving and robotics.
Compensation and equity that match your level
Hybrid work built on autonomy and trust
Ownership of core technical decisions
your data bottleneck.
Tell us the scale and shape of your data. We'll come back with a realistic path to adoption.